DocumentCode :
797952
Title :
Expected value of fuzzy variable and fuzzy expected value models
Author :
Liu, Baoding ; Liu, Yian-Kui
Author_Institution :
Dept. of Math. Sci., Tsinghua Univ., Beijing, China
Volume :
10
Issue :
4
fYear :
2002
fDate :
8/1/2002 12:00:00 AM
Firstpage :
445
Lastpage :
450
Abstract :
This paper will present a novel concept of expected values of fuzzy variables, which is essentially a type of Choquet integral and coincides with that of random variables. In order to calculate the expected value of general fuzzy variable, a fuzzy simulation technique is also designed. Finally, we construct a spectrum of fuzzy expected value models, and integrate fuzzy simulation, neural network, and genetic algorithms to produce a hybrid intelligent algorithm for solving general fuzzy expected value models.
Keywords :
convex programming; fuzzy systems; genetic algorithms; neural nets; possibility theory; Choquet integral; expected values; fuzzy expected value models; fuzzy programming models; fuzzy simulation technique; fuzzy variables; genetic algorithms; hybrid intelligent algorithm; neural network algorithm; possibility theory; random variables; Computational modeling; Computer networks; Computer simulation; Fuzzy neural networks; Fuzzy set theory; Genetic algorithms; Intelligent networks; Neural networks; Possibility theory; Random variables;
fLanguage :
English
Journal_Title :
Fuzzy Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6706
Type :
jour
DOI :
10.1109/TFUZZ.2002.800692
Filename :
1022866
Link To Document :
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